On Thu, Jan 21, 2010 at 2:41 PM, Dennis Murphy <djmuser at gmail.com> wrote:
Hi: On Thu, Jan 21, 2010 at 12:29 PM, Peng Yu <pengyu.ut at gmail.com> wrote:
On Thu, Jan 21, 2010 at 2:16 PM, Dennis Murphy <djmuser at gmail.com> wrote:
Hi: This paper was a prelude to his first book 'Exact Statistical Methods for Data Analysis'. He uses what is called a generalized p-value approach to inference, and for the book he wrote commercial software. AFAIK, no R package implements his methodology. The 'conventional' approach to unequal variance in ANOVA is to use generalized least squares, whose implementation is found in gls() in the nlme package.
There are quite a few references on ?gls. Which one is the most introductory material that I should start with, if I want to understand the method?
GLS is a standard technique in linear model theory. It is well documented. Any good book on linear statistical models should have a discussion on it. (Probably Wikipedia, too). If unequal variance is the only issue (meaning independent observations), the technique is called weighted least squares (WLS). GLS is more general in that it can be applied to correlated observations. Assuming the variances are known (a big if), it is easy to convert from WLS to ordinary least squares - divide all the responses by the group standard deviation to which it belongs. The transformation in GLS (again, assuming variances known) involves a matrix transformation (Cholesky, when appropriate). When the variances are unknown, as they usually are, the estimation problem is a lot messier and one needs to resort to approximations.
Would you please recommend a good book to me?
Do you have any simple explanation that may help me understand what is the difference between the method in 'Exact Statistical Methods for Data Analysis' and the method in gls()?
No. They're quite different approaches. Weerahandi's is conditional; GLS is unconditional.
Would you please elaborate what you mean by "conditional" and "unconditional"?
Dennis
HTH, Dennis On Thu, Jan 21, 2010 at 12:03 PM, Peng Yu <pengyu.ut at gmail.com> wrote:
I found this paper on ANOVA on unequal error variance. Has this be incorporated to any R package? Is there any textbook that discuss the problem of ANOVA on unequal error variance in general? http://www.jstor.org/stable/2532947?cookieSet=1
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______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.